Junwei Duan
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
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- Face and Expression Recognition
- Advanced Neural Network Applications
- Image Enhancement Techniques
Papers in
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- Machine Learning and ELM 11
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- Face and Expression Recognition 8
- Co-authors
- C. L. Philip Chen (14 shared papers)Long Chen (11 shared papers)Yinghui Li (2 shared papers)Weiping Ding (3 shared papers)Zhiguo Zhou (7 shared papers)Junwei Jin (3 shared papers)Liang Zhao (1 shared paper)Tiejun Yang (1 shared paper)
In The Last Decade
Junwei Duan
43 papers receiving 467 citations
Junwei Duan's Hit Papers
Peers
Comparison fields: 5 of 102
- Media Technology 79
- Computer Vision and Pattern Recognition 150
- Neurology 47
- Health Informatics 6
- Artificial Intelligence 136
Countries citing papers authored by Junwei Duan
This map shows the geographic impact of Junwei Duan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junwei Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Duan more than expected).
Fields of papers citing papers by Junwei Duan
This network shows the impact of papers produced by Junwei Duan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junwei Duan. The network helps show where Junwei Duan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei Duan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning based multimodal biomedical data fusion: An overview and comparative review Hit paper breakdown → | 2024 | 91 |
| 2 | 2021 | 46 | |
| 3 | 2021 | 34 | |
| 4 | 2018 | 30 | |
| 5 | 2022 | 29 | |
| 6 | 2021 | 26 | |
| 7 | 2020 | 23 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2016 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2014 | 10 | |
| 18 | 2023 | 8 | |
| 19 | 2012 | 8 | |
| 20 | 2024 | 7 |
About Junwei Duan
Junwei Duan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Neurology and Cognitive Neuroscience, having authored 52 papers that have together received 480 indexed citations. Recurring topics across this work include Machine Learning and ELM (11 papers), Face and Expression Recognition (8 papers), Brain Tumor Detection and Classification (8 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced Image Fusion Techniques (5 papers), Image Processing Techniques and Applications (4 papers), Remote-Sensing Image Classification (4 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Media Technology (79 citations), Computer Vision and Pattern Recognition (150 citations), Neurology (47 citations), Health Informatics (6 citations) and Artificial Intelligence (136 citations). Junwei Duan has collaborated with scholars based in China, Macao and Australia. Frequent co-authors include C. L. Philip Chen, Long Chen, Yinghui Li, Weiping Ding, Zhiguo Zhou, Junwei Jin, Liang Zhao, Tiejun Yang, Yanting Li and Zixuan Huang. Their work appears in journals such as Engineering Applications of Artificial Intelligence, IEEE Sensors Journal, Neurocomputing, Frontiers in Neuroscience and Expert Systems with Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.